import pandas as pd
import pymysql
class MysqlUtils(object):


    def __init__(self):
        self.com = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd='root',
            db='scenic',
            port=3386,
            charset='utf8'
        )
    
    def get_scenic_data(self):
        cursor = self.com.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
            SELECT order_id, age, user_count, id_no, user_name, phone FROM (
                SELECT o.id as order_id, u.id_no, u.user_name, u.phone, 
                case
                    when length(u.id_no) = 18 THEN YEAR(now()) - CAST(SUBSTR(u.id_no, 7, 4) as signed)
                    else NULL
                end as age,
                (SELECT count(*) FROM ticket_order_user_rel WHERE order_id = o.id) as user_count
                FROM ticket_order o JOIN ticket_order_user_rel u on u.order_id = o.id 
                WHERE u.id_no is not null and u.id_no != ''
            ) as subquery
            WHERE user_count = 1 and (age < 18 or age >= 68)
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        print(df.head)
        df.to_csv('./outlier/scenic_data.csv')

if __name__ == '__main__': 
    mu = MysqlUtils()
    mu.get_scenic_data()

